Alfonsine vs Franciacorta: result 1-0 and analysis
Serie D - Girone DRegular Season - 23Kick-off on February 9, 2020 at 01:30 PM (UTC)Stadio Comunale Brigata Cremona, Alfonsine
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What was the result of Alfonsine vs Franciacorta?
Alfonsine won 1-0 on February 9, 2020.
Goalscorers
- 89′?Alfonsine
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alfonsine have 3 wins, 3 draws and 9 defeats; Franciacorta have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2020 | Breno(away) | 0-2 | Serie D - Girone D |
| Jan 26, 2020 | Correggese(away) | 0-1 | Serie D - Girone D |
| Jan 19, 2020 | Savignanese(home) | 1-2 | Serie D - Girone D |
| Jan 12, 2020 | Fiorenzuola(away) | 1-2 | Serie D - Girone D |
| Jan 5, 2020 | Progresso(home) | 1-0 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2020 | Fanfulla(home) | 3-1 | Serie D - Girone D |
| Jan 26, 2020 | Savignanese(away) | 0-0 | Serie D - Girone D |
| Jan 19, 2020 | Sasso Marconi Zola(home) | 1-2 | Serie D - Girone D |
| Jan 12, 2020 | Correggese(away) | 0-3 | Serie D - Girone D |
| Jan 5, 2020 | Forli(home) | 2-1 | Serie D - Girone D |
What does the head-to-head say?
Across the last 1 meetings: 1 Alfonsine win(s), 0 draw(s), 0 Franciacorta win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2019 | Franciacorta 1-2 Alfonsine | Serie D - Girone D |
Last archived meeting: Franciacorta vs Alfonsine on Oct 6, 2019
How many goals should we expect?
Alfonsine score 0.7 and concede 1.3 goals per match over their last 15; Franciacorta score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alfonsine | 0.7 | 1.3 | 4 | 5/15 | 6/15 |
| Franciacorta | 1.9 | 1.9 | 1 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy